開放式課程(OCW)介紹

• 演算法 Algorithms

  • § Required text
    • 1. J. Kleinberg and E. Tardos, Algorithm Design, Addison Wesley, 2006.
    • 2. (J. Kleinberg, 20 Best Brains under 40, Discover Magazine, 2008)
  • § Reference book
    • 1. S. Dasgupta, C. Papadimitriou, and U. Vazirani, Algorithms, McGraw-Hill, 2007.

• 線性代數 Linear Algebra (English)

  • Elementary Linear Algebra, 2nd edition by Spence, Insel, and Friedberg, 2008, Pearson Education.

• 線性代數(一) Linear Algebra I

  • Linear Algebra, 4th Edition, S. Friedberg, A. Insel and L. Spence, 2003, Prentice Hall.

• 線性代數(二) Linear Algebra II

  • Linear Algebra, 4th Edition, S. Friedberg, A. Insel and L. Spence, 2003, Prentice Hall.

• 矩陣分析 Matrix Analysis

  • R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge University Press, Cambridge, 1985.
  • R. A. Horn and C. R. Johnson, Topics in Matrix Analysis, Cambridge University Press, Cambridge, 1991.

• 數位訊號處理 Digital Signal Processing (English)

  • Discrete-Time Signal Processing (3rd ed.), A. V. Oppenheim and R. W. Schafer, Prentice Hall, 2009.

• 計算機網路 Computer Networks (English)

  • Computer Networks: An Open Source Approach, Ying-Dar Lin, Ren-Hung Hwang,Fred Baker, McGraw-Hill, Feb 2011.

• 邏輯設計 Logic Design

  • C. H. Roth, Jr., Fundamentals of Logic Design, 6th edition, Thomson

• 數位電路設計 Digital System Design

  • Morris Mano & Charles R. Kime, Logic and Computer Design Fundamentals, 3rd Edition (第三版，新月圖書代理), 2004, Pearson Prentice Hall (Chs 1~7)

• 計算機組織 Computer Organization,Computer Organization & Design-- The Hardware/Software Interface

  • § Required text
    • David A. Patterson and John L. Hennessy, Computer Organization & Design-- The Hardware/Software Interface, 4th edition, 2009, MORGAN KAUFMAN.
  • § Reference book
    • Computer Systems: A Programmer's Perspective(CSAPP)

• 計算機架構 Computer Architecture (English):(Computer Architecture, A Quantitative Approach)

  • “Computer Architecture, A Quantitative Approach,” 4th Ed, by John L. Hennessy and David A. Patterson, Morgan Kaufmann Publishers, 2007

• 計算機架構 Computer Architecture: (Computer Architecture: A Quantitative Approach)

  • 課程概述: Computer Architecture is one of the few fundamental subjects that a computer scientist must master. It describes how a computer system should be designed, from the user’s and the system view. It differs from the undergraduate course Computer Organization in that, this course tells you not only how current computers are designed, but also the future directions in accordance with technological changes, plus many design techniques in depth.
  • 課程書目:
    • John L. Hennessy & David A. Patterson, Computer Architecture: A Quantitative Approach, 4th ed., 2007, Morgan Kaufmann.
  • 參考資料:
    • John L. Hennessy & David A. Patterson, Computer Architecture: A Quantitative Approach, 3rd ed., 2003.
    • Class notes of Prof. D. Culler & D. Patterson, UCB.
    • Class notes of Prof. C. Chen & H.R. Ke, NCTU.

• 機器學習 Machine Learning

  • 課程書目 Deep Learning, Ian Goodfellow, Yoshua Bengio and Aaron Courville, 2016.

  • 閱讀書目

    • Wing, Jeannette M. Computational thinking." Communications of the ACM 49.3 (2006): 33-35.
    • Domingos, Pedro. A few useful things to know about machine learn-ing." Communications of the ACM 55.10 (2012): 78-87.
    • Dhar, Vasant. "Data science and prediction." Communications of the
    • ACM 56.12 (2013): 64-73.

  • 閱讀書目

    • Ethem Alpaydin, Introduction to Machine Learning, 3rd Edition, 2014,ISBN: 978-0-262-028189
    • Abu-Mostafa, Yaser S., Malik Magdon-Ismail, and Hsuan-Tien Lin.
    • Learning from data. Berlin, Germany: AMLBook, 2012.
    • Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. The elements of statistical learning. Vol. 1. Springer, Berlin: Springer series in statistics, 2001.
    • Witten, Ian H., and Eibe Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2005.
    • Vapnik, Vladimir Naumovich, and Vlamimir Vapnik. Statistical learn-ing theory. Vol. 1. New York: Wiley, 1998.
    • Mitchell, Tom M. Machine learning. McGraw Hill,1997.

• 統計學 Statistics

• 高等統計學 Advanced Statistics

• 古典小說選讀-紅樓夢

  國立清華大學開放式課程(NTHU OpenCourseWare)，簡稱 OCW

  • 深度學習

  臺大開放式課程 NTU OpenCourseWare

  嘉義大學開放式課程 Available Courses

  崑山科技大學開放式課程

  國立宜蘭大學開放式課程

在数据分析、挖掘方面，有哪些好书值得推荐？

https://teachyourselfcs.com/

Great Ideas in Computer Architecture (Machine Structures)